In order to tackle these challenges, we propose a novel Hierarchical Clustering and Refinement framework for Generalized Multi-Camera Person Tracking.
In order to tackle these challenges, we propose a novel Hierarchical Clustering and Refinement framework for Generalized Multi-Camera Person Tracking.
In order to tackle these challenges, we propose a novel Hierarchical Clustering and Refinement framework for Generalized Multi-Camera Person Tracking.
In order to tackle these challenges, we propose a novel Hierarchical Clustering and Refinement framework for Generalized Multi-Camera Person Tracking.
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Jun 18, 2024 · Zheng, “Hierarchical clustering and refinement for generalized multi-camera person tracking,” in 2023 IEEE/CVF Conference on Computer Vision.
Oct 19, 2023 · The purpose of object re-identification is to recognize the same object in different images. This problem often arises when identifying people ...
2024 WORKSHOP PROGRAM ... This year's AI City Challenge CVPR workshop will take place on Monday, June 17th. ... Virtual attendance of our workshop is available on ...
Missing: Person | Show results with:Person
In this paper, we present a grid-based tracking by detection methodology, applied to 3D people tracking for multi-camera video surveillance. In particular, ...
Oct 1, 2023 · Formulating MTMCT problem as two hierarchical steps allows for data association within each camera as well as across cameras, commonly referred ...
Apr 16, 2024 · We present a scalable framework designed to craft efficient lightweight models for video object detection utilizing self-training and knowledge ...